Literature DB >> 25160308

Analysis of eligibility criteria from ClinicalTrials.gov.

Justin Doods1, Martin Dugas1, Fleur Fritz1.   

Abstract

Electronic health care records are being used more and more for patient documentation. This electronic data can be used for secondary purposes, for example through systems that support clinical research. Eligibility criteria have to be processable for such systems to work, but criteria published on ClinicalTrials.gov have been shown to be complex, making them challenging to re-use. We analysed the eligibility criteria on ClinicalTrials.gov using automatic methods to determine whether the criteria definition and number changed over time. From 1998 to 2012 the average number of words used to describe eligibility criteria per year increased by 46%, while the average number of lines used per year only slightly increases until 2000 and stabilizes afterwards. Whether the increase of words resulted in increased criteria complexity or whether more data elements are used to describe eligibility needs further investigation.

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Year:  2014        PMID: 25160308

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  The My Cancer Genome clinical trial data model and trial curation workflow.

Authors:  Neha Jain; Kathleen F Mittendorf; Marilyn Holt; Michele Lenoue-Newton; Ian Maurer; Clinton Miller; Matthew Stachowiak; Michelle Botyrius; James Cole; Christine Micheel; Mia Levy
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

  1 in total

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